論文 - 田村 宏樹
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Worker Detection and Tracking System for Data Indicator Analysis to Improve Work Efficiency in a Factory 査読あり
I. Hidaka, S. Inoue, T. Ishikawa, H. Tamura, Thi Thi Zin
The 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), Kumamoto, Japan 2023年8月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Effects of sturgeon fillet intake on top-ranked Japanese female long-distance runners 査読あり
Naoki Haraguchi, Hiroyuki Nakao, Yoichi Sakakibara, Hiroki Tamura, Kiyoko Nagahama, Keiko Sakurai, Hiroshi Sameshima, Michael Schauerte, Tsuyomu Ikenoue, Shinji Katsuragi
Journal of Obstetrics and Gynaecology Research 49 ( 8 ) 2164 - 2174 2023年6月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Two Functional Wheel Mechanism Capable of Step Ascending for Personal Mobility Aids 査読あり
Geunho Lee, Naohisa Togami, Yusuke Hayakawa, Hiroki Tamura
Electronics 12 ( 6 ) 1 - 18 2023年3月
担当区分：最終著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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A Review on the Motion of Magnetically Actuated Bio-Inspired Microrobots 査読あり 国際共著
Shanuka Dodampegama, , Amith Mudugamuwa , Menaka Konara, Nisal Perera, Dinindu De Silva,Uditha Roshan , Ranjith Amarasinghe, Nirosh Jayaweera and Hiroki Tamura
Applied Sciences 12 ( 22 ) 1 - 19 2022年11月
担当区分：最終著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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HMM-Based Action Recognition System for Elderly Healthcare by Colorizing Depth Map 査読あり
Ye Htet , Thi Thi Zin, , Pyke Tin , Hiroki Tamura , Kazuhiro Kondo and Etsuo Chosa
International Journal of Environmental Research and Public Health 19 ( 19 ) 1 - 21 2022年9月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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A Study on Sound Analysis Algorithm for Heart Sounds using YOLO Deep Learning Model 査読あり
Hiroki Tamura, Praveen Nuwantha Gunaratne, Hiromu Takeguchi, Hiroyuki,Fukumoto and Yoshifumi Hashiguchi
Journal of Information Technology and Computer Science 7 ( 2 ) 154 - 159 2022年8月
担当区分：筆頭著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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A Study on Analysis Method for a Real-Time Neurofeedback System Using Non-Invasive Magnetoencephalography 査読あり
Kazuhiro Yagi, Yuta Shibahara, Lindsey Tate and Hiroki Tamura
Electronics 11 ( 15 ) 1 - 12 2022年8月
担当区分：最終著者, 責任著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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Digitization Technology for Remote Monitoring and its Applications (Keynote Speech) 招待あり
Hiroki Tamura
International Conference On Multidisciplinary Applications of Information Technology (ICOMIT 2022) 2022年7月
担当区分：筆頭著者, 責任著者 記述言語：英語 掲載種別：研究論文（研究会，シンポジウム資料等）
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Action Recognition System for Senior Citizens Using Depth Image Colorization 査読あり
Ye Htet, Thi Thi Zin, Hiroki Tamura, Kazuhiro Kondo, Etsuo Chosa
2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) 2022年3月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Judgement on Shunt Sounds from Vascular Access using YOLO Deep Learning Model 査読あり
Kyosuke Fujiwara, Takayuki Yamamoto, Lindsey Tate, Kazuya Kibune, Hiroki Tamura
The 2022 International Conference on Artificial Life and Robotics 2022年1月
担当区分：最終著者, 責任著者 記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Identify the Proportion of Locomotive Syndrome in a Japanese Community 査読あり
Saori Yoshinaga, Hiroki Tamura, Yoshinori Fujii, Kurumi Tsuruta
Journal of Japan Health Medicine Association 2022年
記述言語：英語 掲載種別：研究論文（学術雑誌）
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A Study for the Realization of Online Magnetoencephalography using the Spatio-Spectral Decomposition Algorithms 査読あり
Kazuhiro Yagi, Yuta Shibahara, Lindsey Tate, Keiko Sakurai, Hiroki Tamura
Journal of Robotics Networking and Artificial Life 8 ( 3 ) 2021年12月
担当区分：責任著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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Comparison of Deep Neural Network Models and Effectiveness of EMG Signal Feature Value for Estimating Dorsiflexion 査読あり
Muhammad Akmal Bin Mohammed Zaffir, Praveen Nuwantha, Daiki Arase, Keiko Sakurai and Hiroki Tamura
Electronics 10 ( 22 ) 2021年11月
担当区分：最終著者, 責任著者 記述言語：英語 掲載種別：研究論文（学術雑誌）
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エリアンサス敷料がブロイラーの生産成績と飼養環境に与える影響－コマーシャル鶏生産農場での実証試験－ 査読あり
石田哲也・小原聡・岩崎和也・濱石翔・田村宏樹・佐々木羊介・高橋俊浩・長峰孝文・川島知之
日本家禽学会誌 58 ( J2 ) 65 - 73 2021年10月
記述言語：日本語 掲載種別：研究論文（学術雑誌）
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Automatic Multiscale-based Peak Detection on Short Time Energy and Spectral Centroid Feature Extraction for Conversational Speech Segmentation 査読あり 国際共著
Barlian Henryranu Prasetio,Edita Rosana Widasari, Hiroki Tamura
Conference: SIET '21: 6th International Conference on Sustainable Information Engineering and Technology 2021 2021年9月
担当区分：最終著者 記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Real-Time Action Recognition System for Elderly People Using Stereo Depth Camera 査読あり
Thi Thi Zin, Ye Htet, Yuya Akagi, Hiroki Tamura*, Kazuhiro Kondo, Sanae Araki and Etsuo Chosa,
Sensors 21 ( 7 ) 2021年9月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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The Fractional-N All Digital Frequency Locked Loop with Robustness for PVT Variation and Its Application for the Microcontroller Unit 査読あり
Ryoichi MIYAUCHI, Akio YOSHIDA, Shuya NAKANO, Hiroki TAMURA, Koichi TANNO, Yutaka FUKUCHI, Yukio KAWAMURA, Yuki KODAMA, Yuichi SEKIYA
IEICE TRANS. INF. & SYST. E104-D ( 8 ) 2021年8月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Basic research for the realization of online MEG using SSD 査読あり
Kazuhiro Yagi, Yuta Shibahara, Lindsey Tate,Keiko Sakurai,Hiroki Tamura
The 2021 International Conference on Artificial Life and Robotics 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Deep time-delay Markov network for prediction and modeling the stress and emotions state transition 査読あり
Prasetio B.H., Tamura H., Tanno K.
Scientific Reports 10 ( 1 ) 2020年12月
記述言語：英語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Scientific Reports
© 2020, The Author(s). To recognize stress and emotion, most of the existing methods only observe and analyze speech patterns from present-time features. However, an emotion (especially for stress) can change because it was triggered by an event while speaking. To address this issue, we propose a novel method for predicting stress and emotions by analyzing prior emotional states. We named this method the deep time-delay Markov network (DTMN). Structurally, the proposed DTMN contains a hidden Markov model (HMM) and a time-delay neural network (TDNN). We evaluated the effectiveness of the proposed DTMN by comparing it with several state transition methods in predicting an emotional state from time-series (sequences) speech data of the SUSAS dataset. The experimental results show that the proposed DTMN can accurately predict present emotional states by outperforming the baseline systems in terms of the prediction error rate (PER). We then modeled the emotional state transition using a finite Markov chain based on the prediction result. We also conducted an ablation experiment to observe the effect of different HMM values and TDNN parameters on the prediction result and the computational training time of the proposed DTMN.
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Elderly monitoring and action recognition system using stereo depth camera 査読あり
Zin T.T., Htet Y., Akagi Y., Tamura H., Kondo K., Araki S.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 316 - 317 2020年10月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
© 2020 IEEE. The proposed system used stereo type depth camera by examining the human action recognition and also sleep monitoring in the elderly care center. Different regions of interest (ROI) are extracted using the U-Disparity and V-Disparity maps. The main information used for recognition is 3D human centroid height relative to the floor and percentage of movement from frame differencing for sleep monitoring. The results from the experiments of the proposed method show that this system can detect the person location, sitting or lying and also sleep behaviors effectively.